AI Agents and Agentic AI are distinct concepts that enhance traditional machine learning rather than replace it. AI Agents are task-focused assistants, while Agentic AI demonstrates autonomy in decision-making. Modern AI evolves from simple rule-follow…
Payments should evolve from mere transactions to opportunities for engagement and relationship building. Currently, cold payment experiences lead to high churn rates and significant revenue loss. By enhancing post-payment rewards and personalizing expe…
AI agents are poised to transform business operations by automating tasks, optimizing workflows, and facilitating real-time decision-making. By 2025, these autonomous systems will adapt and learn continuously, driving efficiency and growth. However, ch…
By Arthur Juliani, Senior Software Engineer, Machine Learning, Unity Technologies Now there is an easy way to encourage agents to explore the environment more effectively when the rewards are infrequent and sparsely distributed. These agents can do this using a reward they give themselves based on how surprised they are about the outcome of their […]
